此技能通过 AppleScript 脚本实现 macOS 上微信消息的自动化发送。
Works with
此技能通过 AppleScript 脚本实现 macOS 上微信消息的自动化发送。
osascript scripts/wechat_automation_script.applescript "<用户名>" "<消息内容>"
| 参数 | 必填 | 说明 |
|---|---|---|
| 用户名 | 是 | 微信联系人名称或群名称，需完全匹配 |
| 消息内容 | 是 | 要发送的消息文本 |
# 发送消息给好友
osascript scripts/wechat_automation_script.applescript "张三" "你好，今天有空吗？"
# 发送消息到群组
osascript scripts/wechat_automation_script.applescript "工作群" "大家好！"
# 发送包含中文的消息
osascript scripts/wechat_automation_script.applescript "Yatocala" "hello你好"
Cmd+F 打开联系人搜索框如果脚本执行失败，请检查以下权限：
| 问题 | 可能原因 | 解决方案 |
|---|---|---|
| 消息未发送 | 焦点未在输入框 | 检查 Tab 键次数是否足够 |
| 搜索不到联系人 | 名称不匹配 | 确认联系人名称完全一致 |
| 脚本执行中断 | 权限不足 | 检查辅助功能权限 |
| 发送中文乱码 | 编码问题 | 确保终端使用 UTF-8 编码 |
wechat-message/
├── SKILL.md # 主说明文档
├── template.md # 消息模板
├── examples/
│ └── sample.md # 使用示例
└── scripts/
└── wechat_automation_script.applescript # AppleScript 脚本
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionwechat-messageExecute the skills CLI command in your project's root directory to begin installation:
Fetches wechat-message from tiancheng91/wechat-msg-send and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
Restart Cursor to activate wechat-message. Access via /wechat-message in your agent's command palette.
We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.
Skills execute code in your environment. Always review source, verify the publisher, and test in isolation before production.
Submit your Claude Code skill and start earning
Create detailed user stories, acceptance criteria, and feature specs
Example
Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios
Reduce spec writing time by 50%, ensure comprehensive coverage
Research competitors, compare features, identify gaps
Example
Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities
Complete competitive research in 2 hours instead of 2 days
Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs
Example
Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale
0
total installs
0
this week
2
GitHub stars
0
upvotes
Run in your terminal
0
installs
0
this week
2
stars
Make data-driven prioritization decisions faster
Draft PRDs, status updates, and stakeholder presentations
Example
Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement
Save 3-5 hours/week on communication overhead
Prerequisites
Time Estimate
30-60 minutes to see productivity improvements
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ Use when
Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.
✗ Avoid when
Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.
mattpocock/skills
parcadei/continuous-claude-v3
cursor/plugins
ailabs-393/ai-labs-claude-skills
pproenca/dot-skills
ailabs-393/ai-labs-claude-skills
Keeps context tight: wechat-message is the kind of skill you can hand to a new teammate without a long onboarding doc.
We added wechat-message from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
wechat-message is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
I recommend wechat-message for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
wechat-message is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
wechat-message reduced setup friction for our internal harness; good balance of opinion and flexibility.
Keeps context tight: wechat-message is the kind of skill you can hand to a new teammate without a long onboarding doc.
wechat-message fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
wechat-message is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
We added wechat-message from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
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